Background If we look at a gas factory, you will find thousand of pipelines with different pressures and gas cocks that can be adjusted to maximize the outcome of the factory. Each section of the gas factory has its own pressure requirements and the amount of gas managed by each section is different. Many modern … Read more
Awful AI is a curated list to track current scary usages of AI – hoping to raise awareness to its misuses in society. https://github.com/daviddao/awful-ai I keep it for my poor memory.
I have seen the Amazon Flywheel many times: But I was not familiar with the Amazon Machine Learning Flywheel:
This post is the continuation of Project approach for a Machine Learning project, and it focus on the schedule of a given project on the context of machine learning. The creation of project schedules is something that can be done if you are able to estimate the efforts and you know the availability of the … Read more
Background and goal This post covers different aspects of a Machine Learning (ML) project, looking at it from the project / program manager point of view. This post is being updated as new feedback is received and new experiences are lived. This post is being divided in different posts as its so large to digest. … Read more
The project approach is defined by the lifecycle of the solution, and here I will focused just on the machine learning side of the project (other sections as infrastructure, education, operations…) will not be reviewed here. What is the lifecycle of a Machine Learning solution? The lifecycle is sequential and in reality is can be … Read more
Let’s start with the basic questions What is the business problem to be solved? What is the situation AS-IS? What are the current pain points you are facing? How are you attending these pain points? Are the causes of the problem identified? What is the problem impact? What is the desired situation TO-BE? What are … Read more
This question is so easy: agile approach. Why? Because it recognizes that the construction of the solution requires different loops. Reason 1: ML models change overtime Machine Learning projects are supported on ML models, and models change overtime. Why do a model change overtime? A model change overtime because the data used to train the … Read more
Evolution happens in different waves of diffusion and deep learning is not an exception. I add this time-line to remind how it evolved, and how the co-evolution of technology has been necessary to enable to end the “neural winter” lived during almost 20 years.
Honeycode is the low-code service in beta version being implemented by Amazon. Things I have noticed: The features are very basic, the templates available basic too. The customers using it are not top tier customers. It’s beta. The number of vacancies opened in amazon.jobs is low and last role available is from April 2022. The … Read more